A Hopfield network can convert analog signals into digital format and can perform associative recalling, signal estimation, and combinatorial optimization similar to the way a human retina performs ...

Hopfield Neural Networks (HNNs) constitute a class of recurrent neural networks that function as associative memory systems, adept at converging towards stable states that represent optimised ...

Computer models are an important tool for studying how the brain makes and stores memories and other types of complex information. But creating such models is a tricky business. Somehow, a symphony of ...

Princeton Professor Emeritus John Hopfield was awarded the 2024 Nobel Prize in Physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks,” ...